Q-MUMMA is built by Aumtrix — a deep-tech company at the intersection of quantum computing, post-quantum cryptography, and artificial intelligence. We do not build qubits. We build the intelligence layer that makes qubits useful for every industry on Earth.
"IBM will sell quantum hardware. Google will sell quantum hardware. Amazon will sell quantum hardware. None of them can be the neutral arbiter of quantum intelligence — that is the throne we are here to claim."
— Founding thesis, Aumtrix, 2025
Aumtrix is co-founder-led. The founding team combines enterprise software engineering, quantum hardware execution, and infrastructure architecture.
Platform vision, architecture strategy, investor relations, enterprise business development. Drives the quantum intelligence thesis from inception to production deployment.
IBM Quantum hardware execution, circuit design, VQE/QAOA pipeline development. Responsible for the 901+ verified hardware job corpus powering the AI Brain.
Operations, infrastructure delivery, and go-to-market execution. Ensures every engineering commitment translates to production availability and client satisfaction.
The Q-MUMMA platform is protected by ten patent claims spanning benchmark methodology, quantum entropy delivery, PQC-signed observability, and AI behavioural fingerprinting.
27-qubit GHZ state preparation across multiple IBM Heron devices achieving 99.24% cross-device reproducibility. First documented systematic cross-device fidelity benchmark.
Multi-dimensional composite scoring system for quantum hardware evaluation independent of manufacturer specifications. Six-dimension weighted score.
Methodology for establishing statistically significant quantum computation results through high shot-count regimes (≥4,096 shots) and cross-execution variance analysis.
System for exposing quantum results via public REST API with SHA-256 hashed job identifiers, ML-DSA-65 signatures, and blockchain anchoring while preserving hardware confidentiality.
Architecture for deploying quantum-resistant post-quantum cryptographic headers across public-facing quantum computation infrastructure from initial deployment.
System for cryptographically signing infrastructure observability data using post-quantum signatures — tamper-evident audit chains for regulated computation environments.
Method for generating unique behavioural signatures from AI system execution patterns — hardware-level fingerprints for identity and integrity verification.
Autonomous security architecture that adapts threat response parameters based on observed attack pattern evolution, without requiring human-defined rule updates.
Multi-hop trust verification protocol where each step is PQC-signed by the previous verifier — recursive trust chains across distributed quantum infrastructure.
ML system trained on quantum hardware calibration drift patterns to predict hardware failure windows — pre-emptive job rerouting before failures impact execution.
Actively onboarding enterprise pilot partners across pharma, finance, energy, and government. All verticals open.